| career@jschwarz.me | +49 40 42878 – 4697 |
| linkedin.com/in/j-schwarz | jschwarz.me |
7 years’ experience working with data. Expertise in quantitative modeling, growing people and making data-driven decisions. Currently working as a Research Associate (Ph.D. Candidate) at the intersection of computer science, statistics and the social sciences as member of both the Entrepreneurship & Data Science groups.
Seeking a role to lead analytics projects, utilizing skills from practice and academia. As Data Science Lead at your company, I would be able to leverage my expertise in both instructing and implementing data-driven methodologies (technologies used mostly: R, SQL and Python).
Industry Experience.
Hamburg University of Technology, Hamburg, Germany 06/2018 - Present
Program Manager | Research Associate (Institute of Entrepreneurship)
Engaged in collaborative research, teaching and industry project management alongside pursuing independent research and advancing academic and data science qualifications.
- Lead B2B/B2C industry innovation projects with a focus on digital transformation and big data analytics
- Designed and conducted multiple lecture units and exams in entrepreneurship and data science
- Pioneered the development of a Digital Teaching and Learning Ecosystem to facilitate remote classes
- Mentored student theses, projects and internships, fostering growth and professional development
- Provided startup consulting services, offering expertise in entrepreneurship and data science strategies
Lufthansa Technik AG, Miami, USA & Hamburg, Germany 04/2017 - 03/2018
Master’s Degree Candidate (dept.: Closed Loop Supply Chain Management)
Developed a custom AI-driven solution, in partnership with IBM Watson, to streamline cost & response time.
- Liaised with stakeholders to delineate project scope and ensure ongoing updates on progress
- Strategically managed resources, delivering projects ahead of schedule and within budget
- Orchestrated resource allocation, task delegation, and performance monitoring throughout
Horváth & Partners Management Consultants, Frankfurt on the Main, Germany 10/2016 - 02/2017
Management Consulting, intern (dept.: Transportation, Travel & Logistics)
Managed PMO for a large-scale project developing new location concepts for a leading European railroad company.
- Led agile PMO operations including reporting, budget tracking and meeting facilitation
- Contributed to establishing the project’s framework and processes for seamless execution
- Conducted profitability assessments and capacity analyses for each site, informing strategic decisions
AUDI AG, Neckarsulm, Germany 09/2013 - 12/2013
Process Optimization, intern (dept.: Body Construction A6/A4)
As the Lean Manufacturing Team coordinator, I facilitated the adoption of Lean Management principles and operational excellence strategies at AUDI, focusing on the Audi Production System (APS).
- Taught lean methodologies, focusing on problem-solving, logistics, and process synchronization
- Planned and moderated shopfloor management projects across both direct and indirect operational areas
- Enhanced processes through detailed process mapping and value stream analysis
L’Arche Greater Vancouver, Vancouver, Canada 08/2010 - 08/2011
(Live in) Care Assistant (Alternative mandatory community service)
Teaching Experience.
Data Science 10/2019 - Present
Designed and instructed a variety of business-oriented Data Science and Machine Learning courses, tailored to meet the specific needs and objectives of diverse organizations. These courses encompassed a range of topics, including data analysis, predictive modeling, statistical techniques and advanced ML algorithms:
- Data Science certificate program
- Business Decisions with Machine Learning
- Business Data Science Basics
- Building Business Data Products
Entrepreneurship & Innovation 10/2018 - Present
Instructing students in the essential skills necessary for launching a technology startup. These classes delve into various aspects crucial for building a successful startup, including ideation, market research, product development, marketing strategies, financial planning and entrepreneurial mindset cultivation:
- Startup Engineering
- Sustainable Entrepreunrship
- Technology Entrepreunrship
- Creation of Business Opportunities
Education.
RMIT University Melbourne, Melbourne, Australia 01/2023 - 03/2023
Visiting Research Scholar
Hamburg University of Technology, Hamburg, Germany 06/2018 - Present
Ph.D. Thesis in Innovation Management & Entrepreneurship Science
Quantitative dissertation (using SQL, R, Python) on the influence of social, structural and reputational effects on entrepreuneurial success.
- Utilized web scraping techniques to gather large-scale datasets (> 5 bn records) from various sources
- Employed clustering algorithms and dimensionality reduction techniques to categorize similar data points
- Developed forecasting models using time-series analysis and predictive analytics to project future trends
- Applied natural language processing (NLP) techniques to extract insights from textual data sources
- Implemented machine learning algorithms for predictive modeling and classification tasks
- Utilized data visualization techniques to present findings in a clear and insightful manner
- Collaborated with interdisciplinary teams to leverage expertise and perspectives from diverse fields
Maastricht University,
Maastricht, Netherlands
02/2016 - 06/2016
Polytechnic University of Valencia,
Valencia, Spain
02/2014 - 06/2014
Visiting Research Scholar
RWTH Aachen University, Aachen, Germany 09/2011 - 03/2018
B.Sc. & M.Sc. in Business Administration & Engineering
Professional Development (Certification).
Business Science University, remote 06/2019 - Present
Completed certification in implementing enterprise-grade end-to-end projects in business and finance, integrating machine learning methodologies and web applications:
- Business Analysis (Data Science Foundations)
- Shiny Web Applications (ML & Business Consulting)
- Data Science for Business (Predictive Dashboards)
- Advanced Web App Development with AWS
DataCamp, remote 06/2019 - Present
Achieved certification in the various Data Science tracks, encompassing statistics, inference, predictive analytics, ML and other technologies essential for deriving insights from large datasets (R, Pyhton and SQL):